Testing the Domain Specificity of Creativity with Kaufman Domains of Creativity Scale: A Meta-Analytic Confirmatory Factor Analysis

Domain-specificity is a topic of debate within the field of creativity. To shed light on this issue, we conducted a meta-analysis of cross-domain correlations based on the Kaufman Domains of Creativity Scale (K-DOCS). To evaluate the model fit of one general factor versus two factors that encompass the primary K-DOCS subscales (Scholarly, Everyday, Artistic, Scientific, and Performance), we employed the one-stage meta-analytic structural equation modeling (OSMASEM) approach. Poor fit of these models would provide evidence of domain-specificity, as the proposed models would not outperform the independence model. Our analysis included 45 correlation matrices from 30 studies, with a total sample size of 31,136 participants. The results provided support for a general domain of creativity, as well as a two-factor solution consisting of Arts and Sciences factors. Among the subscales, the highest correlation was found between the Artistic and Performance domains (r = .478), while the smallest correlation was observed between the Everyday and Scientific domains (r = .178). Furthermore, moderator analyses incorporating age and gender revealed that the Scientific and Everyday subscales exhibited a stronger factor load in older participants compared to younger participants. Implications are discussed for research and practice.     

The Importance of the Default Mode Network in Creativity—A Structural MRI Study

Anecdotal reports as well as behavioral studies have suggested that creative performance benefits from unconscious processes. So far, however, little is known about how creative ideas arise from the brain. In the current study, we aimed to investigate the neural correlates of creativity by means of structural MRI research. Given that unconscious and less controlled processes are important in creative thinking, structural brain research may find a positive correlation between well‐established creativity measures and cortical thickness in brain structures of the default mode network (i.e., the counterpart of the cognitive control network). Individuals performed the Alternative Uses task by which an individual's cognitive flexibility and the average uniqueness and average creativity of a participant's ideas were assessed. We computed optimized voxel‐based‐morphometry (VBM) to explore the correlation between inter‐individual differences in creativity and inter‐individual differences in gray matter volume. For all creativity measures, a positive correlation was found between creative performance and gray matter volume of the default mode network. These findings support the idea that the default mode network is important in creativity, and provide neurostructural support for the idea that unconscious forms of information processing are important in creativity. Theoretical and practical implications are discussed.     

The Chinese Version of the Revised Creativity Domain Questionnaire (CDQ‐R): First Evidence for its Factorial Validity and Systematic Association with the Big Five

The present study examines the factor structure of a Chinese version of the Revised Creativity Domain Questionnaire (CDQ‐R; Kaufman, Waterstreet, Ailaouni, Whitcomb, Roe, & Riggs, 2009) as well as its relation to Big Five personality traits within a Chinese sample (N = 787). Analyses indicate the appropriateness of the Chinese version of the CDQ‐R in terms of internal consistency, factorial validity as well as convergent and divergent validity concerning the Big Five personality factors. Revealing some culture‐specific variation, confirmatory factor analysis indicated a slight superiority of a five‐factor model for this Chinese sample over the existing four‐factor model established with American samples. This higher level of differentiation in terms of one factor of the creativity domain could be explained on the basis of the specific characteristics of the Chinese culture.     

心身障碍共病与慢性疼痛关联的结构模型

常见的心身障碍共病可以理解为一种新的精神疾病结构模型：情绪障碍、抑郁、焦虑及躯体化障碍等归为内化性疾病谱系的组成元素,物质滥用和反社会行为障碍归为外化性疾病谱系的组成元素。本文分析探讨评估慢性疼痛与这一模型的联系。社会心理和生物学的研究证据表明慢性疼痛与内化性障碍密切相关,提示内化-外化性疾病模型可以作为一个有效的研究架构,为探讨慢性疼痛与情感、抑郁焦虑及其他相关精神障碍的关联共病机制提供新的研究方向和新思路。     

Exploring Factor Model Parameters across Continuous Variables with Local Structural Equation Models

Using an empirical data set, we investigated variation in factor model parameters across a continuous moderator variable and demonstrated three modeling approaches: multiple-group mean and covariance structure (MGMCS) analyses, local structural equation modeling (LSEM), and moderated factor analysis (MFA). We focused on how to study variation in factor model parameters as a function of continuous variables such as age, socioeconomic status, ability levels, acculturation, and so forth. Specifically, we formalized the LSEM approach in detail as compared with previous work and investigated its statistical properties with an analytical derivation and a simulation study. We also provide code for the easy implementation of LSEM. The illustration of methods was based on cross-sectional cognitive ability data from individuals ranging in age from 4 to 23 years. Variations in factor loadings across age were examined with regard to the age differentiation hypothesis. LSEM and MFA converged with respect to the conclusions. When there was a broad age range within groups and varying relations between the indicator variables and the common factor across age, MGMCS produced distorted parameter estimates. We discuss the pros of LSEM compared with MFA and recommend using the two tools as complementary approaches for investigating moderation in factor model parameters.     

Rejoinder: Remaining Challenges in Investigating Grade-Retention Effectiveness

This rejoinder, in response to the commentaries of Steiner, Park, and Kim (this issue) and Reshetnyak, Cham, and Hughes (this issue), discusses remaining challenges in grade retention research. First, a same-age comparison assumes that the instruments used in different grades measure ability equally well. We discuss the importance of evaluating the properties of the scaling process to address whether this assumption has been met. Second, we discuss issues in the selection of covariates to be included in the weights. Third, we discuss the unconfoundedness assumption and the problem of remaining imbalance. Finally, we provide an empirical illustration showing that studying grade-retention effectiveness comes with multiple methodological decisions that are rooted in a bias–variance trade-off.     

Using Marginal Structural Modeling for Grade Retention Effects

Vandecandelaere, Vansteelandt, De Fraine, and Van Damme (this issue) described marginal structural modeling (MSM) and used it to estimate the effects of a time-varying intervention, retention (holding back) in school grades, on students' math achievement. This commentary supplements Vandecandelaere et al. (this issue) and discusses several topics in retention studies and MSM. First, we discuss the importance of equating time-varying confounders in retention studies. Second, we discuss same-grade and same-age comparisons in retention studies. Third, we discuss one important section in the authors' overview of MSM: why standard methods (e.g., ANCOVA, propensity score analysis) cannot properly adjust for time-varying confounders. Finally, using the grade retention analyses in Vandecandelaere et al. (this issue) as an example, we provide our insights on four aspects of MSM: (a) covariate selection, (b) estimation of weights, (c) evaluation of balance properties, and (d) missing data handling.     

家庭环境对中学生阅读能力的影响:阅读投入、阅读兴趣的中介作用

采用学生阅读能力测试卷和学生阅读状况调查问卷,对随机选取的559名中学生进行调查,并运用结构方程模型探讨了家庭环境影响阅读能力的内在机制。结果发现,家庭环境影响阅读投入的路径系数为0.18,阅读投入影响阅读兴趣的路径系数为0.51,阅读兴趣影响阅读投入的路径系数为0.80,阅读投入影响阅读能力的路径系数为0.46,各路径系数均达到显著水平(p0.05)。结果表明,(1)家庭环境通过阅读投入的完全中介作用影响阅读兴趣;阅读兴趣通过阅读投入的完全中介作用影响阅读成绩;(2)家庭环境对阅读能力的影响是通过阅读投入和阅读兴趣的循环互动作用实现的。     

Structural Analysis of the Trauma Symptom Inventory–2

The Trauma Symptom Inventory (TSI; Briere, 1995), a measure of the psychological effects of trauma and other adverse events, was recently expanded and updated (TSI–2; Briere, 2011). This study evaluated 4 competing models of TSI–2 dimensionality and determined the predictive validity of the best fitting solution. Data were collected from 679 adults in the general population. Confirmatory factor analysis indicated that a 4-factor solution best fit the data. All 4 factors of the final model were significant predictors of exposure to trauma or some other very upsetting event, especially posttraumatic stress. Additional research is indicated to further probe the characteristics of the TSI–2, including its dimensionality in other groups.     

Psychological ownership in relation to workplace trust and turnover intent

The study investigated the relationship between workplace trust, psychological ownership and turnover intent within a South African professional services organisation. A cross-sectional quantitative survey design was used to collect data from a purposive sample (n = 302) of skilled, highly skilled and professional employees in a professional services industry. The participants completed the Psychological Ownership Questionnaire, Workplace Trust Survey, and Turnover Intentions Scale. The results from structural equation modelling (SEM) suggest psychological ownership to be significantly related to workplace trust (positively) and turnover intent (negatively). In addition, the findings indicate psychological ownership to fully mediate the relationship between workplace trust and turnover intent. By implication, work environments that fostered workplace trust would increase the level of psychological ownership that employees’ experienced, which, in turn, would reduce employees’ intent to leave their workplace.